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Video7: An Architecture for Storage and Recovery of Streaming Audio and Video in NoSQL Database

机译:Video7:用于在NoSQL数据库中存储和恢复流音频和视频的体系结构

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The increasing number of both digital audio and videos, brings up the necessity of appropriate tools for the storage and management of those kind of data. As options for the storage, there are the non-relational databases (NoSQL). The diversity of existing systems provokes the interest in proposing an architecture for the management of that content, in different types of databases. Due to that need, this work proposes the Video7 architecture for storing and retrieving both audio and video streaming files stored in non-relational databases. Based on the architecture, it was implemented a tool that makes use of the Apache HBase, Apache Cassandra, Project Voldemort, Redis and MongoDB databases, and is subjected to stressful routines. The purpose of stress routines is to measure insertion and queries times, in addition to their transfer rates in response to requests to a media server. Redis database presents better performance in the submitted routines, while Project Voldemort and Apache Cassandra perform poorly than other databases.
机译:越来越多的数字音频和视频,提出了用于存储和管理此类数据的适当工具的必要性。作为存储的选项,有非关系数据库(NoSQL)。现有系统的多样性激发了在​​不同类型的数据库中提出一种用于管理该内容的体系结构的兴趣。由于这种需要,这项工作提出了Video7体系结构,用于存储和检索存储在非关系数据库中的音频和视频流文件。基于该架构,它实现了一个工具,该工具利用了Apache HBase,Apache Cassandra,Voldemort项目,Redis和MongoDB数据库,并且需要执行繁重的例程。压力例程的目的是测量插入和查询时间,以及响应于对媒体服务器的请求的传输速率。 Redis数据库在提交的例程中表现出更好的性能,而Project Voldemort和Apache Cassandra的性能比其他数据库差。

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